• DocumentCode
    3276404
  • Title

    Region Water Resources Optimal Allocation Based on Multi-Objective Genetic Algorithm

  • Author

    Feng Kepeng ; Tian Juncang

  • Author_Institution
    Coll. of Civil & Hydraulic Eng., Ningxia Univ., Yinchuan, China
  • fYear
    2013
  • fDate
    16-18 Jan. 2013
  • Firstpage
    1096
  • Lastpage
    1098
  • Abstract
    In this paper, multi-objective genetic algorithm applied to the regional water resources optimal allocation, through definition of economy, population, water resources and environment three objective function and the constraints, the regional water resources optimal allocation model has been established, and then multi-objective genetic algorithm is used to solve the model. The model gets different results for 50% and 75% of optimal allocation of water resources of Ningxia in 2030. The result of example proves that the method is reasonable and feasible in the application of region water resources optimal allocation.
  • Keywords
    economics; environmental factors; genetic algorithms; water resources; economy; environment; multiobjective genetic algorithm; population; region water resource optimal allocation; Cities and towns; Genetic algorithms; Industries; Resource management; Sociology; Statistics; Water resources; Genetic Algorithm; Multi-Objective; Optimal Allocation; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-4893-5
  • Type

    conf

  • DOI
    10.1109/ISDEA.2012.259
  • Filename
    6456080